Interpretation and reproduction of SCI paper [NO.3] MSFT-YOLO: Improved YOLOv5 steel surface defect detection based on transformer (code has been reproduced) - Code World

Interpretation and reproduction of SCI paper [NO.3] MSFT-YOLO: Improved YOLOv5 steel surface defect detection based on transformer (code has been reproduced)

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Origin blog.csdn.net/m0_70388905/article/details/128525702#comments_26958945

Interpretation and reproduction of SCI paper [NO.3] MSFT-YOLO: Improved YOLOv5 steel surface defect detection based on transformer (code has been reproduced)

Interpretation and reproduction of target detection paper ten: remote sensing image target detection based on YOLOv5 (code has been reproduced)

[Interpretation and reproduction of target detection paper NO.33] Improved YOLOv5 new energy battery collector plate defect detection method

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

Interpretation and reproduction of English papers (sci) [NO.12] YOLO-Tea: YOLOv5 improved tea disease detection model

Interpretation and reproduction of English paper (sci) [NO.13] Real-time detection of apple leaf diseases in natural scenes based on YOLOv5

Interpretation and reproduction of English paper (sci): real-time detection of apple leaf diseases in natural scenes based on YOLOv5

Thesis research | Steel surface defect detection based on machine vision

English paper (sci) Interpretation and Reproduction [NO.6] ASFF-YOLOv5: Multivariate detection method for road traffic in UAV images based on multi-scale feature fusion

Yolov5 innovation: NEU-DET steel surface defect detection, the optimized combination is highly novel, CVPR2023 DCNV3 and InceptionNeXt have obvious growth points

[Source code and deployment tutorial] PCB board defect detection system: improved YOLOv5 & OpenCV

PCB defect detection based on yolov5

NEU-DET steel surface defect detection based on Yolov8, the optimized combination is highly novel: CVPR2023 PConv and BiLevelRoutingAttention, with obvious growth points

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captu

Target Detection YOLO Practical Application Cases 100 Lectures - Research and Implementation of Underwater Group Target Detection Based on Improved YOLOv5

Tile surface defect detection based on Faster-RCNN - provide source code

Yolo-Z: Improved YOLOv5 for small object detection

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

English paper (sci) Interpretation and reproduction [NO.7] Improved YOLOv5s target detection algorithm based on attention mechanism

See "Machine Vision Surface Defect Detection Technology and Its Application in Iron and Steel Industry" notes

Rail defect/crack detection based on yolov3

The Yolo framework has been greatly improved | A new framework for target detection with extremely low consumption

Interpretation and reproduction of English papers (sci) [NO.12] YOLO-Tea: YOLOv5 improved tea disease detection model

Interpretation and reproduction of English papers (sci) [NO.12] YOLO-Tea: YOLOv5 improved tea disease detection model

Interpretation and reproduction of English papers (sci) [NO.12] YOLO-Tea: YOLOv5 improved tea disease detection model

Interpretation and reproduction of English papers (sci) [NO.12] YOLO-Tea: YOLOv5 improved tea disease detection model

Interpretation and reproduction of English papers (sci) [NO.12] YOLO-Tea: YOLOv5 improved tea disease detection model

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